Article Per Year (5 Year)
p-Index From 2021 - 2026
9.738
P-Index
This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jupiter Coding: Jurnal Komputer dan Aplikasi Techno.Com: Jurnal Teknologi Informasi CAUCHY: Jurnal Matematika Murni dan Aplikasi Jurnal Edukasi dan Penelitian Informatika (JEPIN) Infotech Journal CESS (Journal of Computer Engineering, System and Science) ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Jurnal Informatika Upgris Jurnal Khatulistiwa Informatika JURNAL MEDIA INFORMATIKA BUDIDARMA JITK (Jurnal Ilmu Pengetahuan dan Komputer) PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI CYBERNETICS JURIKOM (Jurnal Riset Komputer) Abdi: Jurnal Pengabdian dan Pemberdayaan Masyarakat JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) Jurnal Sistem Komputer dan Informatika (JSON) Jurnal Teknologi Informasi dan Komunikasi Jurnal Teknologi dan Sistem Tertanam Djtechno: Jurnal Teknologi Informasi KLIK: Kajian Ilmiah Informatika dan Komputer JITEL (Jurnal Ilmiah Telekomunikasi, Elektronika, dan Listrik Tenaga) CONSEN: Indonesian Journal of Community Services and Engagement Jurnal Informatika Polinema (JIP) The Indonesian Journal of Computer Science Jurnal Media Informasi Teknologi Mekongga: Jurnal Pengabdian Masyarakat
Rahmi Hidayati
Universitas Tanjungpura
Religion Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Library & Information Science Mathematics Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Other

Published : 92 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 92 Documents
Search

 4   5   6   7   8 
Sistem Informasi Pemesanan Paket Wisata di Kabupaten Bengkayang Rahmi Hidayati; Irma Nirmala; Arif Rahmawan
JUPITER (Jurnal Penelitian Ilmu dan Teknologi Komputer) Vol 16 No 1 (2024): Jurnal Penelitian Ilmu dan Teknologi Komputer (JUPITER)
Publisher : Teknik Komputer Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.10863768

Abstract

Bengkayang Regency is one of the regencies located in the West Kalimantan Province. Bengkayang Regency boasts numerous tourist destinations that can be visited. However, many people are still unaware of the tourist spots in Bengkayang. The purpose of the tourist package booking information system in Bengkayang Regency is to provide a platform that facilitates tourists in obtaining information and booking tour packages in the region. This system is built based on a website. The development stages of this system utilize a linear sequential model(waterfall). The system is accessible to both administrators and regular users. User accessible sections include information about tourist destinations, tour package selection, booking and confirmation, booking management, payment, and payment notifications. The tourist package booking information system in Bengkayang Regency can simplify the process for tourists to choose and book packages that meet their needs. System testing, conducted through black-box testing with predefined test cases, yielded results indicating that the system operates in accordance with requirements.
Implementasi Algoritma C5.0 Pada Smart Lamp Berbasis Website Kresna Satya Nugroho; Hidayati, Rahmi; Suhardi
JUPITER (Jurnal Penelitian Ilmu dan Teknologi Komputer) Vol 16 No 1 (2024): Jurnal Penelitian Ilmu dan Teknologi Komputer (JUPITER)
Publisher : Teknik Komputer Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.10583297

Abstract

Lighting from lamps plays an important role, but manually controlling lamps often makes users forget to turn off the lights when leaving home. This research introduces smartlamp, which is a lamp integrated with IoT system. In this research, smartlamp is designed to provide automatic control by recognizing the habit data of home occupants using the C5.0 Algorithm method. This system focuses on recognizing data on the habits of home residents using the C5.0 Algorithm method with the use of 864 training data conducted for 20 days and 48 testing data for 2 days resulting in system implementation with an accuracy of 98.61%, recall 98.47%, precision 98.47%, and an error rate of 1.39%. The results of this study show the ability of the C5.0 Algorithm method to recognize user habit data. Suggestions for further research are to build a system that uses a bluetooth connection so that it can be used when there is no internet network and add several sensors to measure the level of efficiency of power usage at home
Sistem Deteksi Dan Pemantauan Kualitas Udara Dalam Ruangan Berbasis IoT Aqila Zulfahmi Putri, Nessa; Uray Ristian; Rahmi Hidayati
JUPITER (Jurnal Penelitian Ilmu dan Teknologi Komputer) Vol 16 No 2 (2024): Jurnal Penelitian Ilmu dan Teknologi Komputer (JUPITER)
Publisher : Teknik Komputer Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.12592552

Abstract

The indoor air quality is related to the comfort and health of the people inside. The causes of poor air quality or stuffiness can be influenced by three parameters: temperature, humidity, and the levels of carbon dioxide. To detect air quality, an IoT-based system was developed to monitor the status of indoor air quality. The air quality statuses defined in this study include not stuffy, moderately stuffy, stuffy, or very stuffy. The sensors used in this study are DHT11 and MH-Z19B. Testing was conducted in three different rooms: Computer Laboratory A, Computer Laboratory B, and the Workshop Laboratory of the Computer System Engineering program at Tanjungpura University, Pontianak. The results of this study include a device that displays information on temperature, humidity, and carbon dioxide levels on a 16x2 LCD with LED lights that turn on when parameter values exceed the set thresholds, and a website. The average detected temperature was 27.51°C, humidity was 52.34%, and the average carbon dioxide level was 703.36 PPM. Based on these three parameters, the average detected air quality status was moderately stuffy. The system was able to detect indoor air quality with an overall average system accuracy of 90.31%.
Sistem Otomatisasi Lampu Ruangan berdasarkan Kebiasaan Pengguna menggunakan Algoritma Backpropagation PERMADANI, CHANDRA MONICA; NIRMALA, IRMA; HIDAYATI, RAHMI
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 12, No 2: Published April 2024
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v12i2.352

Abstract

ABSTRAKLampu adalah alat penerangan yang sangat penting dalam aktivitas sehari-hari, namun seringkali pengguna lupa atau lalai dalam mematikannya saat tidak digunakan. Akibatnya, penggunaan daya listrik menjadi berlebihan. Untuk mengatasi masalah ini, diperlukan sebuah teknologi yang mampu mengendalikan lampu secara otomatis. Dalam penelitian ini dibangun sebuah sistem kendali otomatisasi lampu berdasarkan kebiasaan pengguna dengan menerapkan algoritma backpropagation. Struktur jaringan algoritma ini terdiri dari 1 neuron input, 6 neuron pada hidden layer, dan 6 neuron output. Data yang digunakan pada 6 buah lampu dalam penelitian ini terdiri dari 620 data latih dan 72 data uji. Penerapan sistem otomatis menggunakan algoritma backpropagation menunjukkan tingkat keberhasilan yang tinggi, dengan menggunakan confusion matrix menghasilkan akurasi mencapai 95,83%, recall 93,75%, dan precision 96,77%. Rata-rata waktu klasifikasi yang didapat adalah 0,979055 detik dari 72 percobaan.Kata Kunci: Otomatis, Lampu, Kebiasaan, Backpropagation, Klasifikasi ABSTRACTLights are a very important lighting tool in daily activities, but often users forget or neglect to turn them off when not in use. As a result, the use of electric power becomes excessive. To solve this problem, a technology is needed that is able to control lights automatically. In this research, a light automation control system based on user habits is built by applying the backpropagation algorithm. The network structure of this algorithm consists of 1 input neuron, 6 neurons in the hidden layer, and 6 output neurons. The data used on 6 lamps in this study consists of 620 training data and 72 test data.The implementation of an automated system using the backpropagation algorithm shows a high level of success, using a confusion matrix resulting in accuracy reaching 95,83%, recall 93,75%, and precision 96,77%. The average classification time obtained is 0,79055 seconds from 72 test trials.Keywords: Automatic, Lights, Habits, Backpropagation, Classification
PEMANTAUAN CUACA LOKAL DENGAN SISTEM PENDETEKSI CURAH HUJAN BERBASIS IoT hidayati, rahmi
Djtechno: Jurnal Teknologi Informasi Vol 5, No 3 (2024): Desember
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/djtechno.v5i3.4957

Abstract

Local weather is a weather condition such as rain, temperature, and humidity that occurs in a certain area. The presence of local weather that occurs unevenly can affect daily activities. There are many weather information providers, but the data presented usually covers a large area so that there can be differences in weather readings in local areas. To address this problem, a system was developed to monitor local weather with an IoT-based rainfall detection system. The purpose of this study is that users can see weather conditions through the website. The website developed can display weather data from each location. The results of the rain sensor test can work well, the rainfall sensor can measure rain intensity and the BME280 sensor for air temperature shows an average error difference of 0.21℃ and an average relative error of 0.74%. Meanwhile, the results of the air humidity test show an average error difference of 0.83°C and an average relative error of 1.31%.
Sistem Pemantauan Infus Berbasis IoT dengan Notifikasi Real-Time Melalui Telegram Teodora Fenny Aliansih; Rahmi Hidayati; Kartika Sari
Jurnal PROCESSOR Vol 19 No 2 (2024): Jurnal Processor
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/processor.2024.19.2.1843

Abstract

Infusions are clinical equipment for administering liquid medication or nutrients to patients. Infusion fluid is stored in a sterile bag and delivered to a vein through a tube. Infusion monitoring is usually done manually by nurses, which often results in negligence such as replacing the liquid run out too late, handling infusions that are not dripping, and dealing with blood that rises into the infusion hose. Therefore, a real-time monitoring system is needed that can provide information and remote notifications about the condition of the infusion. This research develops an IoT-based system using NodeMCU ESP32, Loadcell sensor, TCRT5000 sensor, LDR sensor, Node-RED, and Telegram bot application. NodeMCU ESP32 serves as the main controller. Loadcell sensor gauges volume of the infusion fluid, TCRT5000 sensor counts droplets per minute, and LDR sensor detects blood in the infusion hose. Sensor data is sent to Node-RED for processing and display on the Telegram bot application. The accuracy of the Loadcell sensor reaches 95.69%, while the TCRT5000 sensor has an accuracy of 76.73%. Notifications are sent when the infusion fluid volume is less than 100 ml, the infusion fluid is not dripping, and when the LDR sensor detects blood in the infusion hose.
D-RAKE compression for enhanced internet of things data management in air quality monitoring Kartika Sari; Sari, Kartika; Hidayati, Rahmi
International Journal of Electrical and Computer Engineering (IJECE) Vol 15, No 2: April 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v15i2.pp2468-2478

Abstract

This study addresses the issue of air pollution in Pontianak, marked by high levels of pollutant particles and chemical compounds that cause respiratory health risks. The research involves essential air quality monitoring using various sensors for temperature, humidity (DHT22), O2 (MQ-135), CO (MQ-7), CO2 (MG-811), and dust (GP2Y1010AU0F), collected real-time, leading to a notable increase in data volume. Due to limitations in internet of things (IoT) devices, there is a need for integration between cloud and IoT through data transmission to reduce the communication time and memory usage. The escalation in sensor data volume requires a lossless compression technique to ensure efficient storage without sacrificing crucial information. Compression plays a vital role in overcoming complex storage challenges, facilitating real-time data access for monitoring, and contributing to sustainable efforts to improve air quality in Pontianak. This research applies the D-RAKE compression method based on basic counting procedures with minimal memory requirements, cost-effective, low-speed microcontrollers commonly used in IoT devices. Despite its simplicity, simulation results indicate that the D-RAKE algorithm outperforms well-established compression methods such as gzip, bzip2, and rar, particularly for data sequences with sparse elements. Moreover, when applied to real- world data, D-RAKE achieves superior compression ratios compared to IoT-focused compression techniques.
D-RAKE compression for enhanced internet of things data management in air quality monitoring Kartika Sari; Sari, Kartika; Hidayati, Rahmi
International Journal of Electrical and Computer Engineering (IJECE) Vol 15, No 2: April 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v15i2.pp2468-2478

Abstract

This study addresses the issue of air pollution in Pontianak, marked by high levels of pollutant particles and chemical compounds that cause respiratory health risks. The research involves essential air quality monitoring using various sensors for temperature, humidity (DHT22), O2 (MQ-135), CO (MQ-7), CO2 (MG-811), and dust (GP2Y1010AU0F), collected real-time, leading to a notable increase in data volume. Due to limitations in internet of things (IoT) devices, there is a need for integration between cloud and IoT through data transmission to reduce the communication time and memory usage. The escalation in sensor data volume requires a lossless compression technique to ensure efficient storage without sacrificing crucial information. Compression plays a vital role in overcoming complex storage challenges, facilitating real-time data access for monitoring, and contributing to sustainable efforts to improve air quality in Pontianak. This research applies the D-RAKE compression method based on basic counting procedures with minimal memory requirements, cost-effective, low-speed microcontrollers commonly used in IoT devices. Despite its simplicity, simulation results indicate that the D-RAKE algorithm outperforms well-established compression methods such as gzip, bzip2, and rar, particularly for data sequences with sparse elements. Moreover, when applied to real- world data, D-RAKE achieves superior compression ratios compared to IoT-focused compression techniques.
OTOMATISASI LAMPU BERDASARKAN KEBIASAAN PENGGUNA MENGGUNAKAN METODE K-NEAREST NEIGHBOR BERBASIS WEBSITE Subri, Hafiz Adlan Afrigi; Hidayati,, Rahmi; Suhardi, Suhardi
Coding: Jurnal Komputer dan Aplikasi Vol 12, No 1 (2024): Edisi April 2024
Publisher : Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/coding.v12i1.77427

Abstract

Pengendalian efisien perangkat listrik, terutama lampu, memegang peran krusial dalam manajemen energi listrik. Salah satu permasalahan yang umum dihadapi adalah kelalaian pengguna dalam mematikan lampu saat siang hari, mengakibatkan pemborosan energi. Untuk mengatasi isu ini, penelitian ini mengusulkan solusi inovatif berupa sistem otomatisasi lampu berdasarkan kebiasaan pengguna,  khususnya  menggunakan metode klasifikasi K-Nearest Neighbor (KNN). Metode KNN digunakan untuk memahami pola perilaku pengguna dalam menghidupkan dan mematikan lampu pada waktu tertentu. Penelitian melibatkan 620 data latih dan 72 data uji. Hasil uji variasi nilai k menunjukkan bahwa semakin besar nilai k, tingkat akurasi cenderung menurun. Dalam penelitian ini,  berdasarkan  pengujian dengan  confusion matrix penerapan metode KNN dengan nilai k sebesar 3 menghasilkan tingkat akurasi mencapai 99,76%, recall 100%, dan presisi 99,48%. Penelitian  ini menunjukkan bahwa pendekatan ini mampu secara efektif memahami kebiasaan pengguna dalam mengoperasikan lampu, sehingga sistem otomatisasi dapat memberikan respons yang tepat. Implementasi solusi ini dapat berpotensi mengurangi konsumsi energi secara signifikan dan meningkatkan kesadaran pengguna terhadap penggunaan listrik, mendukung upaya konservasi energi yang lebih luas.  
Sistem Pemantauan dan Kendali Ayunan Bayi Otomatis Berbasis Android Alfikri, Nadya Syifa; Hidayati, Rahmi; Sari, Kartika
Coding: Jurnal Komputer dan Aplikasi Vol 12, No 3 (2024): Edisi Desember 2024
Publisher : Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/coding.v12i3.88380

Abstract

Teknologi pada zaman modern semakin berkembang dan terus berinovasi sehingga dapat mempermudah pekerjaan manusia. Salah satu teknologi yang dapat mempermudah pekerjaan manusia adalah ayunan bayi otomatis. Ayunan bayi yang ada saat ini masih digunakan secara konvensional atau memanfaatkan tenaga manusia. Pada penelitian dirancang teknologi otomatis pada ayunan bayi yang dapat memudahkan ibu bayi memantau kondisi bayi dari jarak jauh sehingga s dapat melakukan pekerjaan lain. Ayunan bayi ini dirancang menggunakan   sebagai pendeteksi suara tangisan bayi dan sensor PIR sebagai pendeteksi gerakan bayi dengan mikrokontroler Arduino Uno sebagai pengendali ayunan bayi dan aplikasi android untuk mengontrol ayunan bayi. Sensor PIR juga digunakan dengan mikrokontroler ESP32 untuk memberikan informasi kepada pengguna melalui telegram. Hasil pengujian sistem menunjukkan bahwa deteksi suara tangisan bayi memerlukan nilai ambang batas lebih dari 100. Volume suara tangisan bayi harus cukup lantang agar dapat terdeteksi dengan baik. Sensor PIR memiliki nilai 0 dan 1 yaitu 0 jika tidak ada gerakan yang terdeteksi dan 1 jika ada gerakan yang terdeteksi. Pendeteksian sensor suara dan PIR dapat mengayun ranjang bayi secara otomatis dan mengirim informasi ke pengguna melalui telegram.
Co-Authors Achyar, Athif Tafrihan Adam, Chairul Afira, Lindini Agus Harjoko Aji, Maulana Setia Alfikri, Nadya Syifa Andreni, Gracella Aqila Zulfahmi Putri, Nessa Ariansyah Sudarsono Arif Rahmawan Aris Fajrianto Basuki Ilham, Maulana Cucu Suhery Darmawansyah Darmawansyah Dea Rizki Febrinamas Dedi Triyanto Deni Deni Destia Arini Hairunnisa Dwi Marisa Midyanti Dwi Marisa Midyanti Ellif Ellif Fajar Mu'alim Firdaus, Nurul Fajri 'Aini Fransiskus Julian Adresman Frasila Frasila Gloria, Bela Priska Gunawan Gunawan Hafiz Muhardi Herawati, Yunita Hirzen Hasfani Huda, Nur'ainul Miftahul Ika Nurul Hidayah Ikhsan, Afif Muhammad Ikhwan Ruslianto Ilhamsyah Imro'ah, Nurfitri Irma Nirmala Irma Nirmala Irma, Irma Nirmala Irwan Guntoro Irwan Guntoro Jaka, Jaka Junianti, Suci Kaffi, Muhammad Syahrul Karika Sari Kartika Sari Kartika Sari Kartika Sari Kasliono Kasliono Kresna Satya Nugroho Krisna Madani Lestari, Ayu Lathalia Lestarry, Indah Advia Marettania, Felisitas Marisa Midyanti, Dwi Michael Michael Muhamad Reksy Mulia Muhammad Luthfi Nirmala, Irma Nur Fitriana Putri Nurul Mutiah PERMADANI, CHANDRA MONICA Pratama, Rakha Daffa Primus Mario Andaka Ginting Rahmanita Widiyanti Rahmawan, Arif Rika, Irmina Riska Wulandari, Riska Rizky Risan R Sampe Hotlan Sitorus Saputra, Dimas Bagus Saputra, Yoga Sari, Ita Permata Subri, Hafiz Adlan Afrigi Suci Junianti Suci Pania, Tika Suhardi Suhardi Suhardi Suhardi Suwanty, Erina Sy Kamal Baraqbah Syamsul Bahri Syamsul Bahri Sylviana Kusuma Tedy Rismawan Tedy Rismawan Teodora Fenny Aliansih Uray Ristian Utami, Retnaning Tyas Vidyana, Irma